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应用改进的低雷诺数湍流模型预测转捩流动
引用本文:严明,宿兴远,魏然,盛春华. 应用改进的低雷诺数湍流模型预测转捩流动[J]. 航空动力学报, 2009, 24(12): 2683-2688
作者姓名:严明  宿兴远  魏然  盛春华
作者单位:北京航空航天大学能源与动力工程学院航空发动机气动热力科技重点实验室,北京,100191;北京航空航天大学能源与动力工程学院,北京,100191;密西西比州立大学计算仿真与设计中心,MS,39762
基金项目:国家重点基础研究发展规划(973计划) 
摘    要:基于Launder-Sharma(LS)低雷诺数k-ε两方程湍流模型发展了一种改进的具有转捩敏感性的低雷诺数湍流模型.针对LS模型的可实现性(realizability)问题和前缘滞止点湍动能预测过大的不足,模型进行了改进.改进模型只使用当地物理量,不需要求解壁面距离、y+和边界层积分参数.改进模型能够适用于广泛的流动,且容易应用到通用的计算流体动力学(CFD)程序中.对具有详细数据的零压力梯度平板转捩边界层T3A实验的模拟结果显示,改进模型能够预测转捩流动,并能对自由湍流变化给出合理的响应. 

关 键 词:转捩模型  转捩流动  数值模拟
收稿时间:2008-12-03
修稿时间:2009-01-14

Prediction of transitional flows using an improved low-Reynolds-number turbulence model with transition sensitivity
YAN Ming,SU Xing-yuan,WEI Ran and SHENG Chun-hua. Prediction of transitional flows using an improved low-Reynolds-number turbulence model with transition sensitivity[J]. Journal of Aerospace Power, 2009, 24(12): 2683-2688
Authors:YAN Ming  SU Xing-yuan  WEI Ran  SHENG Chun-hua
Affiliation:1.National Key Laboratory of Science and Technology on Aero-Engines, School of Jet Propulsion, Beijing University of Aeronautics and Astronautics, Beijing 100191, China2.School of Jet Propulsion, Beijing University of Aeronautics and Astronautics, Beijing 100191, China3.Computational Simulation and Design Center, Mississippi State University, Mississippi State, MS 39762, USA
Abstract:The paper presented the initial development of an improved two-equation low-Reynolds-number(LRN) turbulence model with transition sensitivity,based on the Launder-Sharma(LS) turbulence model.Several modifications were made for LS model's disadvantage on realizablity and stagnation point anomaly.The improved model only uses local variables.No need of calculating wall distance,y+ and boundary layer integral parameters makes it can be used for a wide range of flows,and this feature also makes it more easily implemented into general-purpose computational fluid dynamics(CFD) codes.The numerical simulation results of T3A test,a zero pressure gradient transitional flat plate boundary layer flow experiment,with detailed experimental data shows that the improved model can predict transitional flow,including an appropriate response to freestream turbulence intensity variety.
Keywords:transition models  transitional flows  numerical simulation
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